This toolkit is a curated collection of machine learning projects, resources, and utilities designed to assist both beginners and seasoned practitioners in their journey through the fascinating world of machine learning.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

High-efficiency floating-point neural network inference operators for mobile, server, and Web

This repository contains an implementation of a deep learning approach for yoga pose classification using Convolutional Neural Networks (CNN) and MediaPipe for body keypoint detection. The project aims to classify various yoga poses with high accuracy and low latency, making it suitable for real-world applications.

Environment Sound Classification with Deep Learning using Hardware Aware - Neural Architecture Search

Biblioteca para manipulação de modelos de Redes Neurais

Convolutional Neural Network inference library running on CUDA

EBOP Model Automatic input Value Estimation Neural network

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.

TNP WildVision project repository

This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.

Using CNN to identify tree leaves.

Machine learning pipeline trained to detect X-ray cavities in Chandra images of early-type galaxies.

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Techniques for deep learning with satellite & aerial imagery

Early prediction of liver cancer development using longitudinal MRI

learning materials for PyTorch beginners

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Official code repository of Laplacian Pyramid Pansharpening Network